主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2025, Vol. 25 ›› Issue (5): 701-705.doi: 10.3969/j.issn.1672-1756.2025.05.013

• 论著 • 上一篇    下一篇

心脏植入式电子设备植入患者出院时同期症状网络分析

张向毅 张晓欣 林佳艺 裴志怡 贾烨如 袁志怡 康晓凤 祝捷   

  1. 中国医学科学院北京协和医学院护理学院,100144 北京市(张向毅,张晓欣,林佳艺,裴志怡,贾烨如,袁志怡,康晓凤);中国医学科学院阜外医院心律失常三病区(祝捷)
  • 出版日期:2025-05-15 发布日期:2025-05-15
  • 通讯作者: 康晓凤,博士,教授,E-mail:xfkangpumc@126.com
  • 作者简介:张向毅,硕士在读
  • 基金资助:
    中国医学科学院阜外医院护理专项课题(HLZX2024015)

Contemporaneous network analysis of multidimensional symptoms of patients with Cardiac Implantable Electronic Device at discharge

ZHANG Xiangyi, ZHANG Xiaoxin, LIN Jiayi, PEI Zhiyi, JIA Yeru, YUAN Zhiyi, KANG Xiaofeng, ZHU Jie   

  1. School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100144, China
  • Online:2025-05-15 Published:2025-05-15
  • Contact: E-mail:xfkangpumc@126.com

摘要: 目的:构建心脏植入式电子设备(Cardiac Implantable Electronic Device,CIED)植入患者出院时症状体验的同期网络模型,分析其症状群及桥梁症状,为CIED植入患者出院计划及随访提供依据。方法:采用便利抽样方法,选取2024年5月—12月在北京市某三级甲等医院心律失常专科病房住院行CIED植入术的232例患者为调查对象。基于患者资料,采用因子分析识别症状群,运用R语言构建同期网络模型,描述症状间的关系,计算中心性指标。结果:患者出院时经历循环障碍症状群、胃肠-情绪障碍症状群、神经-认知障碍症状群和睡眠障碍症状群4个症状群。症状网络分析显示,入睡困难是桥梁强度(rbS=1.201)最高的症状,疲劳是桥梁紧密中心性(rbC=0.098)与桥梁中介中心性(rbB=21)最高的症状。结论:CIED植入患者出院时的桥梁症状为入睡困难和疲劳,二者连接多个症状及症状群,是CIED植入患者症状干预的重要靶点。

关键词: 心脏植入式电子设备;症状网络;同期网络;网络分析

Abstract: Objective: To construct a contemporaneous network of multidimensional symptoms, identify symptom clusters and bridging symptoms in Cardiac Implantable Electronic Device (CIED) recipients during the peri-discharge period, and thereby provide evidence for discharge planning and follow-up care for CIED patients. Methods: A total of 232 patients who underwent CIED implantation in the arrhythmia specialty ward of a tertiary grade A hospital in Beijing from May to December 2024 were enrolled as study participants using a consecutive convenience sampling method. Factor analysis was employed to identify symptom clusters, and a co-occurrence network was established using R software to visualize symptom interrelationships and calculate centrality metrics. Results: Four symptom clusters were identified: circulatory disorder cluster, gastrointestinal-emotional disorder cluster, neurological-cognitive disorder cluster, and sleep disorder cluster. The highest symptom of bridge strength centrality was difficulty in falling asleep (rbS=1.201), and the highest symptom of bridge closeness centrality (rbC=0.098) and bridge betweenness centrality (rbB=21) was tiredness. Conclusion: Difficulty falling asleep and tiredness emerge as critical bridging symptoms, connecting multiple symptoms and clusters. These findings highlight their significance as intervention targets for discharge plan in CIED patients.

Key words: Cardiac Implantable Electronic Device; symptom network; contemporaneous network; network analysis

中图分类号:  R47;R197